期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2006
卷号：XXXVI Part 3
出版社：Copernicus Publications
摘要：Three dimensional building models have become important during the past for various applications like urban planning, enhanced navigation or visualization of touristy or historic objects. 3D models can increase the understanding and explanation of complex urban scenes and support decision processes. A 3D model of the urban environment gives the possibility for simulation and rehearsal, to "fly through" the local urban terrain on different paths, and to visualize the scene from different viewpoints. The automatic generation of 3D models using Laser height data is one challenge for actual research. In many proposals for 3D model generation the process is starting by extraction of the border lines of man made objects. In our paper we are presenting an automatic generation method for lines based on the analysis of the 3D point clouds in the Laser height data. For each 3D point additional features considering the neighborhood are calculated. Invariance with respect to position, scale and rotation is achieved. Investigations concerning the required point density to get reliable results are accomplished. Comparing the new features with analytical results of typical point configurations provide discriminating features to select points which may belong to a line. Assembling these points to lines the borders of the objects were achieved. First results are presented. Possibilities for the enhancement of the calculation of the covariance matrix by including the intensity of the Laser signal and a refined consideration of the neighborhood are discussed
关键词：Laser data; 3D point clouds; covariance of points; edge detection; line generation; eigenvalues; eigenvectors; ; momentum of inertia; segmentation
